Samsung Galaxy Z Fold6
Geekbench AI Score
1991
Single Precision Score
2058
Half Precision Score
2777
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 07:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy Z Fold6 |
| Model ID | samsung SM-F956B |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1853
344.6 IPS |
|
|
Image Classification (HP)
|
100% |
1892
351.9 IPS |
|
|
Image Classification (Q)
|
100% |
1962
364.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3143
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3134
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3323
3.88 IPS |
|
|
Pose Estimation (Q)
|
84% |
6984
8.28 IPS |
|
|
Object Detection (SP)
|
98% |
1484
118.1 IPS |
|
|
Object Detection (HP)
|
98% |
1338
106.5 IPS |
|
|
Object Detection (Q)
|
83% |
1950
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
2957
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
3128
37.2 IPS |
|
|
Face Detection (Q)
|
95% |
4794
57.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3009
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3087
23.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4860
44.5 IPS |
|
|
Style Transfer (SP)
|
89% |
7490
9.72 IPS |
|
|
Style Transfer (HP)
|
89% |
7529
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
11895
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2883
106.8 IPS |
|
|
Text Classification (SP)
|
100% |
529
705.9 IPS |
|
|
Text Classification (HP)
|
99% |
555
741.0 IPS |
|
|
Text Classification (Q)
|
88% |
766
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
50% |
532
18.9 IPS |
